Modern deep learning techniques typically require a large amount of labelled data for training [1]}, [2]}. However, in real world applications, such large labelled data sets are not always available. This is especially true in some specific domains, such as the biomedical domain, where annotating data requires expert knowledge and is usually time-consuming [3]}, [4]}.
